Merge pull request #5775 from luotao1/ProtoData

remove ProtoData

paddle/trainer/tests/CMakeLists.txt

@@ -11,7 +11,6 @@ add_unittest_without_exec(test_Trainer
     test_Trainer.cpp)
 add_test(NAME test_Trainer
   COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
-        ${PYTHON_EXECUTABLE} ${PADDLE_SOURCE_DIR}/paddle/trainer/tests/gen_proto_data.py &&
         ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
         ${CMAKE_CURRENT_BINARY_DIR}/test_Trainer
     WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)

paddle/trainer/tests/chunking.conf

-#edit-mode: -*- python -*-
-# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-#Todo(luotao02) This config is only used for unitest. It is out of date now, and will be updated later.
-
-TrainData(ProtoData(
-  files = 'trainer/tests/train_files.txt',
-  usage_ratio = 1.0,
-))
-
-TestData(ProtoData(
-  files = 'trainer/tests/test_files.txt'
-))
-
-default_initial_std(1)
-default_decay_rate(4e-4)
-default_device(0)
-
-Inputs("features", "word", "pos", "chunk")
-
-Outputs("crf")
-
-Layer(
-    name = "features",
-    type = "data",
-    size = 4339,
-)
-
-Layer(
-    name = "word",
-    type = "data",
-    size = 478,
-)
-
-Layer(
-    name = "pos",
-    type = "data",
-    size = 45
-)
-
-Layer(
-    name = "chunk",
-    type = "data",
-    size = 23
-)
-
-Layer(
-    name = "output",
-    type = "mixed",
-    size = 23,
-    bias = False,
-    device = -1,
-    inputs = [
-        FullMatrixProjection("features", parameter_name="feature_weights"),
-    #    TableProjection("word"),
-    #    TableProjection("pos"),
-    ],
-)
-
-Layer(
-    name = "crf",
-    type = "crf",
-    size = 23,
-    device = -1,
-    inputs = [
-        Input("output", parameter_name="crfw"),
-        "chunk"
-    ]
-)
-
-Layer(
-    name = "crf_decoding",
-    type = "crf_decoding",
-    size = 23,
-    device = -1,
-    inputs = [
-        Input("output", parameter_name="crfw"),
-        "chunk"
-    ]
-)
-
-Evaluator(
-    name = "error",
-    type = "sum",
-    inputs = "crf_decoding",
-)
-
-'''
-# chuck evaluator cannot be used for GPU training
-Evaluator(
-    name = "chunk_f1",
-    type = "chunk",
-    inputs = ["crf_decoding", "chunk"],
-    chunk_scheme = "IOB",
-    num_chunk_types = 11,
-)
-'''
-
-Settings(
-    algorithm = 'sgd',
-    batch_size = 100,
-    average_window = 0.5,
-    max_average_window = 2500,
-    learning_rate = 1e-1,
-    learning_rate_decay_a = 5e-7,
-    learning_rate_decay_b = 0.75,
-    l1weight = 0,
-    l2weight = 1,
-    c1 = 0.0001,
-    backoff = 0.5,
-    owlqn_steps = 100,
-    max_backoff = 5,
-)

paddle/trainer/tests/gen_proto_data.py

-# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from cStringIO import StringIO
-
-import paddle.proto.DataFormat_pb2 as DataFormat
-from google.protobuf.internal.encoder import _EncodeVarint
-
-import logging
-import pprint
-
-logging.basicConfig(
-    format='[%(levelname)s %(asctime)s %(filename)s:%(lineno)s] %(message)s', )
-logger = logging.getLogger('paddle')
-logger.setLevel(logging.INFO)
-
-OOV_POLICY_IGNORE = 0
-OOV_POLICY_USE = 1
-OOV_POLICY_ERROR = 2
-
-num_original_columns = 3
-
-# Feature combination patterns.
-# [[-1,0], [0,0]]  means previous token at column 0 and current token at
-# column 0 are combined as one feature.
-patterns = [
-    [[-2, 0]],
-    [[-1, 0]],
-    [[0, 0]],
-    [[1, 0]],
-    [[2, 0]],
-    [[-1, 0], [0, 0]],
-    [[0, 0], [1, 0]],
-    [[-2, 1]],
-    [[-1, 1]],
-    [[0, 1]],
-    [[1, 1]],
-    [[2, 1]],
-    [[-2, 1], [-1, 1]],
-    [[-1, 1], [0, 1]],
-    [[0, 1], [1, 1]],
-    [[1, 1], [2, 1]],
-    [[-2, 1], [-1, 1], [0, 1]],
-    [[-1, 1], [0, 1], [1, 1]],
-    [[0, 1], [1, 1], [2, 1]],
-]
-
-
-def make_features(sequence):
-    length = len(sequence)
-    num_features = len(sequence[0])
-
-    def get_features(pos):
-        if pos < 0:
-            return ['#B%s' % -pos] * num_features
-        if pos >= length:
-            return ['#E%s' % (pos - length + 1)] * num_features
-        return sequence[pos]
-
-    for i in xrange(length):
-        for pattern in patterns:
-            fname = '/'.join([get_features(i + pos)[f] for pos, f in pattern])
-            sequence[i].append(fname)
-
-
-'''
-Source file format:
-Each line is for one timestep. The features are separated by space.
-An empty line indicates end of a sequence.
-
-cutoff: a list of numbers. If count of a feature is smaller than this,
- it will be ignored.
-if oov_policy[i] is OOV_POLICY_USE, id 0 is reserved for OOV features of
-i-th column.
-
-return a list of dict for each column
-'''
-
-
-def create_dictionaries(filename, cutoff, oov_policy):
-    def add_to_dict(sequence, dicts):
-        num_features = len(dicts)
-        for features in sequence:
-            l = len(features)
-            assert l == num_features, "Wrong number of features " + line
-            for i in xrange(l):
-                if features[i] in dicts[i]:
-                    dicts[i][features[i]] += 1
-                else:
-                    dicts[i][features[i]] = 1
-
-    num_features = len(cutoff)
-    dicts = []
-    for i in xrange(num_features):
-        dicts.append(dict())
-
-    f = open(filename, 'rb')
-
-    sequence = []
-
-    for line in f:
-        line = line.strip()
-        if not line:
-            make_features(sequence)
-            add_to_dict(sequence, dicts)
-            sequence = []
-            continue
-        features = line.split(' ')
-        sequence.append(features)
-
-    for i in xrange(num_features):
-        dct = dicts[i]
-        n = 1 if oov_policy[i] == OOV_POLICY_USE else 0
-        todo = []
-        for k, v in dct.iteritems():
-            if v < cutoff[i]:
-                todo.append(k)
-            else:
-                dct[k] = n
-                n += 1
-
-        if oov_policy[i] == OOV_POLICY_USE:
-            # placeholder so that len(dct) will be the number of features
-            # including OOV
-            dct['#OOV#'] = 0
-
-        logger.info('column %d dict size=%d, ignored %d' % (i, n, len(todo)))
-        for k in todo:
-            del dct[k]
-
-    f.close()
-    return dicts
-
-
-def encode_varint(v):
-    out = StringIO()
-    _EncodeVarint(out.write, v)
-    return out.getvalue()
-
-
-def write_proto(file, message):
-    s = message.SerializeToString()
-    packed_len = encode_varint(len(s))
-    file.write(packed_len + s)
-
-
-'''
-if oov_policy[i] == OOV_POLICY_USE, features in i-th column which are not
-existed in dicts[i] will be assigned to id 0.
-if oov_policy[i] == OOV_POLICY_ERROR, all features in i-th column MUST exist
-in dicts[i].
-'''
-
-
-def gen_proto_file(input_file, dicts, oov_policy, output_file):
-    def write_sequence(out, sequence):
-        num_features = len(dicts)
-        is_beginning = True
-        for features in sequence:
-            assert len(features) == num_features, \
-                "Wrong number of features: " + line
-            sample = DataFormat.DataSample()
-            for i in xrange(num_original_columns):
-                id = dicts[i].get(features[i], -1)
-                if id != -1:
-                    sample.id_slots.append(id)
-                elif oov_policy[i] == OOV_POLICY_IGNORE:
-                    sample.id_slots.append(0xffffffff)
-                elif oov_policy[i] == OOV_POLICY_ERROR:
-                    logger.fatal("Unknown token: %s" % features[i])
-                else:
-                    sample.id_slots.append(0)
-
-            if patterns:
-                dim = 0
-                vec = sample.vector_slots.add()
-                for i in xrange(num_original_columns, num_features):
-                    id = dicts[i].get(features[i], -1)
-                    if id != -1:
-                        vec.ids.append(dim + id)
-                    elif oov_policy[i] == OOV_POLICY_IGNORE:
-                        pass
-                    elif oov_policy[i] == OOV_POLICY_ERROR:
-                        logger.fatal("Unknown token: %s" % features[i])
-                    else:
-                        vec.ids.append(dim + 0)
-
-                    dim += len(dicts[i])
-
-            sample.is_beginning = is_beginning
-            is_beginning = False
-            write_proto(out, sample)
-
-    num_features = len(dicts)
-    f = open(input_file, 'rb')
-    out = open(output_file, 'wb')
-
-    header = DataFormat.DataHeader()
-    if patterns:
-        slot_def = header.slot_defs.add()
-        slot_def.type = DataFormat.SlotDef.VECTOR_SPARSE_NON_VALUE
-        slot_def.dim = sum(
-            [len(dicts[i]) for i in xrange(num_original_columns, len(dicts))])
-        logger.info("feature_dim=%s" % slot_def.dim)
-
-    for i in xrange(num_original_columns):
-        slot_def = header.slot_defs.add()
-        slot_def.type = DataFormat.SlotDef.INDEX
-        slot_def.dim = len(dicts[i])
-
-    write_proto(out, header)
-
-    num_sequences = 0
-    sequence = []
-    for line in f:
-        line = line.strip()
-        if not line:
-            make_features(sequence)
-            write_sequence(out, sequence)
-            sequence = []
-            num_sequences += 1
-            continue
-        features = line.split(' ')
-        sequence.append(features)
-
-    f.close()
-    out.close()
-
-    logger.info("num_sequences=%s" % num_sequences)
-
-
-dict2 = {
-    'B-ADJP': 0,
-    'I-ADJP': 1,
-    'B-ADVP': 2,
-    'I-ADVP': 3,
-    'B-CONJP': 4,
-    'I-CONJP': 5,
-    'B-INTJ': 6,
-    'I-INTJ': 7,
-    'B-LST': 8,
-    'I-LST': 9,
-    'B-NP': 10,
-    'I-NP': 11,
-    'B-PP': 12,
-    'I-PP': 13,
-    'B-PRT': 14,
-    'I-PRT': 15,
-    'B-SBAR': 16,
-    'I-SBAR': 17,
-    'B-UCP': 18,
-    'I-UCP': 19,
-    'B-VP': 20,
-    'I-VP': 21,
-    'O': 22
-}
-
-if __name__ == '__main__':
-    cutoff = [3, 1, 0]
-    cutoff += [3] * len(patterns)
-    oov_policy = [OOV_POLICY_IGNORE, OOV_POLICY_ERROR, OOV_POLICY_ERROR]
-    oov_policy += [OOV_POLICY_IGNORE] * len(patterns)
-    dicts = create_dictionaries('trainer/tests/train.txt', cutoff, oov_policy)
-    dicts[2] = dict2
-    gen_proto_file('trainer/tests/train.txt', dicts, oov_policy,
-                   'trainer/tests/train_proto.bin')
-    gen_proto_file('trainer/tests/test.txt', dicts, oov_policy,
-                   'trainer/tests/test_proto.bin')

paddle/trainer/tests/test.txt

-Confidence NN B-NP
-in IN B-PP
-the DT B-NP
-pound NN I-NP
-is VBZ B-VP
-widely RB I-VP
-expected VBN I-VP
-to TO I-VP
-take VB I-VP
-another DT B-NP
-sharp JJ I-NP
-dive NN I-NP
-if IN B-SBAR
-trade NN B-NP
-figures NNS I-NP
-for IN B-PP
-September NNP B-NP
-, , O
-due JJ B-ADJP
-for IN B-PP
-release NN B-NP
-tomorrow NN B-NP
-, , O
-fail VB B-VP
-to TO I-VP
-show VB I-VP
-a DT B-NP
-substantial JJ I-NP
-improvement NN I-NP
-from IN B-PP
-July NNP B-NP
-and CC I-NP
-August NNP I-NP
-'s POS B-NP
-near-record JJ I-NP
-deficits NNS I-NP
-. . O
-
-Chancellor NNP O
-of IN B-PP
-the DT B-NP
-Exchequer NNP I-NP
-Nigel NNP B-NP
-Lawson NNP I-NP
-'s POS B-NP
-restated VBN I-NP
-commitment NN I-NP
-to TO B-PP
-a DT B-NP
-firm NN I-NP
-monetary JJ I-NP
-policy NN I-NP
-has VBZ B-VP
-helped VBN I-VP
-to TO I-VP
-prevent VB I-VP
-a DT B-NP
-freefall NN I-NP
-in IN B-PP
-sterling NN B-NP
-over IN B-PP
-the DT B-NP
-past JJ I-NP
-week NN I-NP
-. . O
-
-But CC O
-analysts NNS B-NP
-reckon VBP B-VP
-underlying VBG B-NP
-support NN I-NP
-for IN B-PP
-sterling NN B-NP
-has VBZ B-VP
-been VBN I-VP
-eroded VBN I-VP
-by IN B-PP
-the DT B-NP
-chancellor NN I-NP
-'s POS B-NP
-failure NN I-NP
-to TO B-VP
-announce VB I-VP
-any DT B-NP
-new JJ I-NP
-policy NN I-NP
-measures NNS I-NP
-in IN B-PP
-his PRP$ B-NP
-Mansion NNP I-NP
-House NNP I-NP
-speech NN I-NP
-last JJ B-NP
-Thursday NNP I-NP
-. . O
-
-This DT B-NP
-has VBZ B-VP
-increased VBN I-VP
-the DT B-NP
-risk NN I-NP
-of IN B-PP
-the DT B-NP
-government NN I-NP
-being VBG B-VP
-forced VBN I-VP
-to TO I-VP
-increase VB I-VP
-base NN B-NP
-rates NNS I-NP
-to TO B-PP
-16 CD B-NP
-% NN I-NP
-from IN B-PP
-their PRP$ B-NP
-current JJ I-NP
-15 CD I-NP
-% NN I-NP
-level NN I-NP
-to TO B-VP
-defend VB I-VP
-the DT B-NP
-pound NN I-NP
-, , O
-economists NNS B-NP
-and CC O
-foreign JJ B-NP
-exchange NN I-NP
-market NN I-NP
-analysts NNS I-NP
-say VBP B-VP
-. . O
-
-`` `` O
-The DT B-NP
-risks NNS I-NP
-for IN B-PP
-sterling NN B-NP
-of IN B-PP
-a DT B-NP
-bad JJ I-NP
-trade NN I-NP
-figure NN I-NP
-are VBP B-VP
-very RB B-ADVP
-heavily RB I-ADVP
-on IN B-PP
-the DT B-NP
-down JJ I-NP
-side NN I-NP
-, , O
-'' '' O
-said VBD B-VP
-Chris NNP B-NP
-Dillow NNP I-NP
-, , O
-senior JJ B-NP
-U.K. NNP I-NP
-economist NN I-NP
-at IN B-PP
-Nomura NNP B-NP
-Research NNP I-NP
-Institute NNP I-NP
-. . O
-
-`` `` O
-If IN B-SBAR
-there EX B-NP
-is VBZ B-VP
-another DT B-NP
-bad JJ I-NP
-trade NN I-NP
-number NN I-NP
-, , O
-there EX B-NP
-could MD B-VP
-be VB I-VP
-an DT B-NP
-awful JJ I-NP
-lot NN I-NP
-of IN B-PP
-pressure NN B-NP
-, , O
-'' '' O
-noted VBD B-VP
-Simon NNP B-NP
-Briscoe NNP I-NP
-, , O
-U.K. NNP B-NP
-economist NN I-NP
-for IN B-PP
-Midland NNP B-NP
-Montagu NNP I-NP
-, , O
-a DT B-NP
-unit NN I-NP
-of IN B-PP
-Midland NNP B-NP
-Bank NNP I-NP
-PLC NNP I-NP
-. . O
-
-Forecasts NNS B-NP
-for IN B-PP
-the DT B-NP
-trade NN I-NP
-figures NNS I-NP
-range VBP B-VP
-widely RB B-ADVP
-, , O
-but CC O
-few JJ B-NP
-economists NNS I-NP
-expect VBP B-VP
-the DT B-NP
-data NNS I-NP
-to TO B-VP
-show VB I-VP
-a DT B-NP
-very RB I-NP
-marked VBN I-NP
-improvement NN I-NP
-from IN B-PP
-the DT O
-# # O
-2 CD O
-billion CD O
--LRB- ( O
-$ $ B-ADJP
-3.2 CD O
-billion CD O
--RRB- ) O
-deficit NN B-NP
-in IN B-PP
-the DT B-NP
-current JJ I-NP
-account NN I-NP
-reported VBD B-VP
-for IN B-PP
-August NNP B-NP
-. . O
-
-The DT B-NP
-August NNP I-NP
-deficit NN I-NP
-and CC O
-the DT B-NP
-# # I-NP
-2.2 CD I-NP
-billion CD I-NP
-gap NN I-NP
-registered VBN B-VP
-in IN B-PP
-July NNP B-NP
-are VBP B-VP
-topped VBN I-VP
-only RB B-ADVP
-by IN B-PP
-the DT B-NP
-# # I-NP
-2.3 CD I-NP
-billion CD I-NP
-deficit NN I-NP
-of IN B-PP
-October NNP B-NP
-1988 CD I-NP
-. . O
-
-Sanjay NNP B-NP
-Joshi NNP I-NP
-, , O
-European JJ B-NP
-economist NN I-NP
-at IN B-PP
-Baring NNP B-NP
-Brothers NNPS I-NP
-& CC I-NP
-Co. NNP I-NP
-, , O
-said VBD B-VP
-there EX B-NP
-is VBZ B-VP
-no DT B-NP
-sign NN I-NP
-that IN B-SBAR
-Britain NNP B-NP
-'s POS B-NP
-manufacturing NN I-NP
-industry NN I-NP
-is VBZ B-VP
-transforming VBG I-VP
-itself PRP B-NP
-to TO B-VP
-boost VB I-VP
-exports NNS B-NP
-. . O
-
-At IN B-PP
-the DT B-NP
-same JJ I-NP
-time NN I-NP
-, , O
-he PRP B-NP
-remains VBZ B-VP
-fairly RB B-ADJP
-pessimistic JJ I-ADJP
-about IN B-PP
-the DT B-NP
-outlook NN I-NP
-for IN B-PP
-imports NNS B-NP
-, , O
-given VBN B-PP
-continued VBD B-NP
-high JJ I-NP
-consumer NN I-NP
-and CC I-NP
-capital NN I-NP
-goods NNS I-NP
-inflows NNS I-NP
-. . O
-
-He PRP B-NP
-reckons VBZ B-VP
-the DT B-NP
-current JJ I-NP
-account NN I-NP
-deficit NN I-NP
-will MD B-VP
-narrow VB I-VP
-to TO B-PP
-only RB B-NP
-# # I-NP
-1.8 CD I-NP
-billion CD I-NP
-in IN B-PP
-September NNP B-NP
-. . O
-
-However RB B-ADVP
-, , O
-Mr. NNP B-NP
-Dillow NNP I-NP
-said VBD B-VP
-he PRP B-NP
-believes VBZ B-VP
-that IN B-SBAR
-a DT B-NP
-reduction NN I-NP
-in IN B-PP
-raw JJ B-NP
-material NN I-NP
-stockbuilding VBG I-NP
-by IN B-PP
-industry NN B-NP
-could MD B-VP
-lead VB I-VP
-to TO B-PP
-a DT B-NP
-sharp JJ I-NP
-drop NN I-NP
-in IN B-PP
-imports NNS B-NP
-. . O
-
-Combined VBN B-PP
-with IN B-PP
-at IN B-ADVP
-least JJS I-ADVP
-some DT B-NP
-rebound NN I-NP
-in IN B-PP
-exports NNS B-NP
-after IN B-PP
-August NNP B-NP
-'s POS B-NP
-unexpected JJ I-NP
-decline NN I-NP
-, , O
-the DT B-NP
-deficit NN I-NP
-could MD B-VP
-narrow VB I-VP
-to TO B-PP
-as RB B-NP
-little JJ I-NP
-as IN I-NP
-# # I-NP
-1.3 CD I-NP
-billion CD I-NP
-. . O
-
-Mr. NNP B-NP
-Briscoe NNP I-NP
-, , O
-who WP B-NP
-also RB B-ADVP
-forecasts VBZ B-VP
-a DT B-NP
-# # I-NP
-1.3 CD I-NP
-billion CD I-NP
-current JJ I-NP
-account NN I-NP
-gap NN I-NP
-, , O
-warns VBZ B-VP
-that IN B-SBAR
-even RB B-SBAR
-if IN I-SBAR
-the DT B-NP
-trade NN I-NP
-figures NNS I-NP
-are VBP B-VP
-bullish JJ B-ADJP
-for IN B-PP
-sterling NN B-NP
-, , O
-the DT B-NP
-currency NN I-NP
-wo MD B-VP
-n't RB I-VP
-advance VB I-VP
-much JJ B-NP
-because IN B-SBAR
-investors NNS B-NP
-will MD B-VP
-want VB I-VP
-to TO I-VP
-see VB I-VP
-further JJ B-NP
-evidence NN I-NP
-of IN B-PP
-the DT B-NP
-turnaround NN I-NP
-before IN B-PP
-adjusting VBG B-VP
-positions NNS B-NP
-. . O
-
-Nevertheless RB B-ADVP
-, , O
-he PRP B-NP
-noted VBD B-VP
-, , O
-`` `` O
-No DT B-NP
-one PRP I-NP
-will MD B-VP
-want VB I-VP
-to TO I-VP
-go VB I-VP
-into IN B-PP
-the DT B-NP
-trade NN I-NP
-figures NNS I-NP
-without IN B-PP
-a DT B-NP
-flat JJ I-NP
-position NN I-NP
-'' '' O
-in IN B-PP
-the DT B-NP
-pound NN I-NP
-. . O
-
-Meanwhile RB B-ADVP
-, , O
-overall JJ B-NP
-evidence NN I-NP
-on IN B-PP
-the DT B-NP
-economy NN I-NP
-remains VBZ B-VP
-fairly RB B-ADJP
-clouded VBN I-ADJP
-. . O
-
-In IN B-PP
-his PRP$ B-NP
-Mansion NNP I-NP
-House NNP I-NP
-speech NN I-NP
-, , O
-Mr. NNP B-NP
-Lawson NNP I-NP
-warned VBD B-VP
-that IN B-SBAR
-a DT B-NP
-further JJ I-NP
-slowdown NN I-NP
-can MD B-VP
-be VB I-VP
-expected VBN I-VP
-as IN B-SBAR
-the DT B-NP
-impact NN I-NP
-of IN B-PP
-the DT B-NP
-last JJ I-NP
-rise NN I-NP
-in IN B-PP
-interest NN B-NP
-rates NNS I-NP
-earlier RBR B-NP
-this DT I-NP
-month NN I-NP
-takes VBZ B-VP
-effect NN B-NP
-. . O
-
-U.K. JJ B-NP
-base NN I-NP
-rates NNS I-NP
-are VBP B-VP
-at IN B-PP
-their PRP$ B-NP
-highest JJS I-NP
-level NN I-NP
-in IN B-PP
-eight CD B-NP
-years NNS I-NP
-. . O
-
-But CC O
-consumer NN B-NP
-expenditure NN I-NP
-data NNS I-NP
-released VBD B-VP
-Friday NNP B-NP
-do VBP B-VP
-n't RB I-VP
-suggest VB I-VP
-that IN B-SBAR
-the DT B-NP
-U.K. NNP I-NP
-economy NN I-NP
-is VBZ B-VP
-slowing VBG I-VP
-that DT B-ADVP
-quickly RB I-ADVP
-. . O
-
-The DT B-NP
-figures NNS I-NP
-show VBP B-VP
-that DT O
-spending NN B-NP
-rose VBD B-VP
-0.1 CD B-NP
-% NN I-NP
-in IN B-PP
-the DT B-NP
-third JJ I-NP
-quarter NN I-NP
-from IN B-PP
-the DT B-NP
-second JJ I-NP
-quarter NN I-NP
-and CC O
-was VBD B-VP
-up IN B-ADVP
-3.8 CD B-NP
-% NN I-NP
-from IN B-PP
-a DT B-NP
-year NN I-NP
-ago RB B-ADVP
-. . O
-
-This DT B-NP
-compares VBZ B-VP
-with IN B-PP
-a DT B-NP
-1.6 CD I-NP
-% NN I-NP
-rise NN I-NP
-in IN B-PP
-the DT B-NP
-second NN I-NP
-from IN B-PP
-the DT B-NP
-first JJ I-NP
-quarter NN I-NP
-and CC O
-a DT B-NP
-5.4 CD I-NP
-% NN I-NP
-increase NN I-NP
-from IN B-PP
-the DT B-NP
-second JJ I-NP
-quarter NN I-NP
-of IN B-PP
-1988 CD B-NP
-. . O
-
-Mr. NNP B-NP
-Dillow NNP I-NP
-said VBD B-VP
-the DT B-NP
-data NNS I-NP
-show VBP B-VP
-the DT B-NP
-economy NN I-NP
-`` `` O
-is VBZ B-VP
-still RB B-ADVP
-quite RB B-ADJP
-strong JJ I-ADJP
-, , O
-'' '' O
-but CC O
-suggestions NNS B-NP
-that IN B-SBAR
-much NN B-NP
-of IN B-PP
-the DT B-NP
-spending NN I-NP
-went VBD B-VP
-on IN B-PP
-services NNS B-NP
-rather RB B-PP
-than IN I-PP
-consumer NN B-NP
-goods NNS I-NP
-should MD B-VP
-reduce VB I-VP
-fears NNS B-NP
-of IN B-PP
-more JJR B-NP
-import NN I-NP
-rises NNS I-NP
-. . O
-
-Certainly RB B-ADVP
-, , O
-the DT B-NP
-chancellor NN I-NP
-has VBZ B-VP
-made VBN I-VP
-it PRP B-NP
-clear JJ B-ADJP
-that IN B-SBAR
-he PRP B-NP
-is VBZ B-VP
-prepared VBN I-VP
-to TO I-VP
-increase VB I-VP
-interest NN B-NP
-rates NNS I-NP
-again RB B-ADVP
-if IN B-SBAR
-necessary JJ B-ADJP
-to TO B-VP
-both DT I-VP
-ensure VB I-VP
-that IN B-SBAR
-a DT B-NP
-substantial JJ I-NP
-slowdown NN I-NP
-does VBZ B-VP
-take VB I-VP
-place NN B-NP
-and CC O
-that DT O
-sterling NN B-NP
-does VBZ B-VP
-n't RB I-VP
-decline VB I-VP
-further JJ B-ADVP
-. . O
-
-Thursday NNP B-NP
-, , O
-he PRP B-NP
-reminded VBD B-VP
-his PRP$ B-NP
-audience NN I-NP
-that IN B-SBAR
-the DT B-NP
-government NN I-NP
-`` `` O
-can MD B-VP
-not RB I-VP
-allow VB I-VP
-the DT B-NP
-necessary JJ I-NP
-rigor NN I-NP
-of IN B-PP
-monetary JJ B-NP
-policy NN I-NP
-to TO B-VP
-be VB I-VP
-undermined VBN I-VP
-by IN B-PP
-exchange NN B-NP
-rate NN I-NP
-weakness NN I-NP
-. . O
-'' '' O
-
-Analysts NNS B-NP
-agree VBP B-VP
-there EX B-NP
-is VBZ B-VP
-little JJ B-NP
-holding NN B-VP
-sterling NN B-NP
-firm NN B-ADJP
-at IN B-PP
-the DT B-NP
-moment NN I-NP
-other JJ B-ADJP
-than IN B-PP
-Mr. NNP B-NP
-Lawson NNP I-NP
-'s POS B-NP
-promise NN I-NP
-that IN B-SBAR
-rates NNS B-NP
-will MD B-VP
-be VB I-VP
-pushed VBN I-VP
-higher JJR B-ADJP
-if IN B-SBAR
-necessary JJ B-ADJP
-. . O
-
-And CC O
-, , O
-they PRP B-NP
-warn VBP B-VP
-, , O
-any DT B-NP
-further JJ I-NP
-drop NN I-NP
-in IN B-PP
-the DT B-NP
-government NN I-NP
-'s POS B-NP
-popularity NN I-NP
-could MD B-VP
-swiftly RB I-VP
-make VB I-VP
-this DT B-NP
-promise NN I-NP
-sound NN B-VP
-hollow JJ B-ADJP
-. . O
-
-Sterling NNP B-NP
-was VBD B-VP
-already RB I-VP
-showing VBG I-VP
-some DT B-NP
-signs NNS I-NP
-of IN B-PP
-a DT B-NP
-lack NN I-NP
-of IN B-PP
-confidence NN B-NP
-in IN B-PP
-Mr. NNP B-NP
-Lawson NNP I-NP
-'s POS B-NP
-promise NN I-NP
-Friday NNP B-NP
-. . O
-
-In IN B-PP
-European JJ B-NP
-trading NN I-NP
-it PRP B-NP
-declined VBD B-VP
-to TO B-PP
-$ $ B-NP
-1.5890 CD I-NP
-and CC O
-2.9495 CD B-NP
-marks NNS I-NP
-from IN B-PP
-$ $ B-NP
-1.5940 CD I-NP
-and CC O
-2.9429 CD B-NP
-marks NNS I-NP
-late JJ B-NP
-Thursday NNP I-NP
-. . O
-
-Economists NNS B-NP
-suggested VBD B-VP
-that IN B-SBAR
-if IN B-SBAR
-the DT B-NP
-pound NN I-NP
-falls VBZ B-VP
-much JJ B-NP
-below IN B-PP
-2.90 CD B-NP
-marks NNS I-NP
-, , O
-the DT B-NP
-government NN I-NP
-will MD B-VP
-be VB I-VP
-forced VBN I-VP
-to TO I-VP
-increase VB I-VP
-rates NNS B-NP
-to TO B-PP
-16 CD B-NP
-% NN I-NP
-, , O
-both DT B-VP
-to TO I-VP
-halt VB B-VP
-any DT B-NP
-further JJ I-NP
-decline NN I-NP
-and CC O
-ensure VB B-VP
-that IN B-SBAR
-the DT B-NP
-balance NN I-NP
-of IN B-PP
-monetary JJ B-NP
-policy NN I-NP
-remains VBZ B-VP
-unchanged JJ B-ADJP
-. . O
-
-Friday NNP B-NP
-'s POS B-NP
-Market NNP I-NP
-Activity NN I-NP
-
-The DT B-NP
-dollar NN I-NP
-posted VBD B-VP
-gains NNS B-NP
-in IN B-PP
-quiet JJ B-NP
-trading NN I-NP
-as IN B-SBAR
-concerns NNS B-NP
-about IN B-PP
-equities NNS B-NP
-abated VBN B-VP
-. . O
-
-Foreign JJ B-NP
-exchange NN I-NP
-dealers NNS I-NP
-said VBD B-VP
-that IN B-SBAR
-the DT B-NP
-currency NN I-NP
-market NN I-NP
-has VBZ B-VP
-begun VBN I-VP
-to TO I-VP
-distance VB I-VP
-itself PRP B-NP
-from IN B-PP
-the DT B-NP
-volatile JJ I-NP
-stock NN I-NP
-exchange NN I-NP
-, , O
-which WDT B-NP
-has VBZ B-VP
-preoccupied VBN I-VP
-the DT B-NP
-market NN I-NP
-since IN B-PP
-Oct. NNP B-NP
-13 CD I-NP
-, , O
-when WRB B-ADVP
-the DT B-NP
-Dow NNP I-NP
-Jones NNP I-NP
-Industrial NNP I-NP
-Average NNP I-NP
-plunged VBD B-VP
-more JJR B-NP
-than IN I-NP
-190 CD I-NP
-points NNS I-NP
-. . O
-
-Currency NN B-NP
-analysts NNS I-NP
-predict VBP B-VP
-that IN B-SBAR
-in IN B-PP
-the DT B-NP
-coming VBG I-NP
-week NN I-NP
-the DT B-NP
-foreign JJ I-NP
-exchange NN I-NP
-market NN I-NP
-will MD B-VP
-shift VB I-VP
-its PRP$ B-NP
-focus NN I-NP
-back RB B-ADVP
-to TO B-PP
-economic JJ B-NP
-fundamentals NNS I-NP
-, , O
-keeping VBG B-VP
-a DT B-NP
-close NN I-NP
-eye NN I-NP
-out IN B-ADVP
-for IN B-PP
-any DT B-NP
-signs NNS I-NP
-of IN B-PP
-monetary JJ B-NP
-easing NN I-NP
-by IN B-PP
-U.S. NNP B-NP
-Federal NNP I-NP
-Reserve NNP I-NP
-. . O
-
-Late RB B-ADVP
-in IN B-PP
-the DT B-NP
-New NNP I-NP
-York NNP I-NP
-trading NN I-NP
-day NN I-NP
-, , O
-the DT B-NP
-dollar NN I-NP
-was VBD B-VP
-quoted VBN I-VP
-at IN B-PP
-1.8578 CD B-NP
-marks NNS I-NP
-, , O
-up IN B-ADVP
-from IN B-PP
-1.8470 CD B-NP
-marks NNS I-NP
-late JJ B-NP
-Thursday NNP I-NP
-in IN B-PP
-New NNP B-NP
-York NNP I-NP
-. . O
-
-The DT B-NP
-U.S. NNP I-NP
-currency NN I-NP
-was VBD B-VP
-also RB I-VP
-changing VBG I-VP
-hands NNS B-NP
-at IN B-PP
-142.43 CD B-NP
-yen NN I-NP
-, , O
-up IN B-ADVP
-from IN B-PP
-141.70 CD B-NP
-yen NN I-NP
-in IN B-PP
-New NNP B-NP
-York NNP I-NP
-late JJ B-NP
-Thursday NNP I-NP
-. . O
-
-In IN B-PP
-Tokyo NNP B-NP
-on IN B-PP
-Monday NNP B-NP
-, , O
-the DT B-NP
-U.S. NNP I-NP
-currency NN I-NP
-opened VBD B-VP
-for IN B-PP
-trading NN B-NP
-at IN B-PP
-141.95 CD B-NP
-yen NN I-NP
-, , O
-up IN B-ADVP
-from IN B-PP
-Friday NNP B-NP
-'s POS B-NP
-Tokyo NNP I-NP

paddle/trainer/tests/test_Trainer.cpp

@@ -24,7 +24,6 @@ using namespace std;     // NOLINT
 static const string& configFile1 = "trainer/tests/sample_trainer_config.conf";
 static const string& configFile2 =
     "trainer/tests/sample_trainer_config_hsigmoid.conf";
-static const string& configFile3 = "trainer/tests/chunking.conf";
 static const string& configFile4 =
     "trainer/tests/sample_trainer_config_parallel.conf";
 
@@ -95,13 +94,6 @@ TEST(checkGradient, multi) {
 
 TEST(checkGradient, hsigmoid) { checkGradientTest(configFile2, false, false); }
 
-TEST(checkGradient, chunk) {
-  checkGradientTest(configFile3, false, false);
-#ifdef PADDLE_WITH_CUDA
-  checkGradientTest(configFile3, true, true);
-#endif
-}
-
 TEST(checkGradient, non_parallel) {
   checkGradientTest(configFile4, false, false);
 }

paddle/trainer/tests/test_config.conf

@@ -15,12 +15,7 @@
 
 from paddle.trainer_config_helpers import *
 
-TrainData(ProtoData(
-    files = "dummy_list",
-    constant_slots = [1.0],
-    async_load_data = True))
-
-TestData(SimpleData(
+TrainData(SimpleData(
     files = "trainer/tests/sample_filelist.txt",
     feat_dim = 3,
     context_len = 0,

paddle/trainer/tests/test_files.txt

-trainer/tests/test_proto.bin

paddle/trainer/tests/train.list

-trainer/tests/data_bin_part

paddle/trainer/tests/train_files.txt

-trainer/tests/train_proto.bin

paddle/trainer/tests/train_sparse.list

-trainer/tests/compare_sparse_data

python/paddle/trainer/config_parser.py

@@ -1116,35 +1116,6 @@ def PyData(files=None,
     return data_config
 
 
-@config_func
-def ProtoData(files=None,
-              type=None,
-              file_group_queue_capacity=None,
-              load_file_count=None,
-              constant_slots=None,
-              load_thread_num=None,
-              **xargs):
-    data_config = create_data_config_proto(**xargs)
-    if type is None:
-        data_config.type = 'proto'
-    else:
-        data_config.type = type
-    data_config.files = files
-
-    # When type="proto_group", one data provider contains at most
-    # load_file_count files, and there are at most
-    # (queue_capacity + load_thread_num + 1) data providers in memory
-    if file_group_queue_capacity is not None:
-        data_config.file_group_conf.queue_capacity = file_group_queue_capacity
-    if load_file_count is not None:
-        data_config.file_group_conf.load_file_count = load_file_count
-    if load_thread_num is not None:
-        data_config.file_group_conf.load_thread_num = load_thread_num
-    if constant_slots:
-        data_config.constant_slots.extend(constant_slots)
-    return data_config
-
-
 #real data for training is actually provided by "sub_data" data providers.
 @config_func
 def MultiData(sub_data=[]):
@@ -2714,7 +2685,7 @@ Usage:
              max_sort_size = -1, inputs = ["output", "score"])
 
   Input data: Samples of the same query should be loaded as a sequence,
-          by ProtoDataProvider or PyDataProvider etc.. User should provide
+          by PyDataProvider etc.. User should provide
           scores for each sample. The score slot should be the 2nd
           input of lambdaRank layer.